The thrust of the previous post is that there are two main levels of analysis when discussing representation in science: relevance and accuracy, or what a representation is about and what it says. Let us focus first on conditions of relevance. Consider any model M , and any object O . The question I want to ask is: in what sense might we say that it is possible that M represents O , or that it must be so (independently of whether it represents it well )? We should first dispell an ambiguity in this question. Are we talking in general, or in a particular context? I have argued in my past research ( Ruyant 2021 ) that there is an important difference between two senses of “represent”: either it refers to norms at play in the epistemic community (such as: the Lotka-Volterra model represents a prey-predator system), or it refers to a specific use in context (the model of the pendulum that I’m using represents the oscillation of my clock). However, the first sense is generally more
Modalities in Representation